class_docstr: Predictor for any model that takes in a sentence and returns
  a single set of tags for it.  In particular, it can be used with
  the :class:`~allennlp.models.crf_tagger.CrfTagger` model
  and also
  the :class:`~allennlp.models.simple_tagger.SimpleTagger` model.
docstr: Expects JSON that looks like ``{"sentence": "..."}``.
  Runs the underlying model, and adds the ``"words"`` to the output.
docstr_tok: ["Expects","JSON","that","looks","like","``","{","``","sentence","''",":","``","...","''","}","``",".","Runs","the","underlying","model",",","and","adds","the","``","``","words","''","``","to","the","output","."]
code: def _json_to_instance(self, json_dict):
      """
      Expects JSON that looks like ``{"sentence": "..."}``.
      Runs the underlying model, and adds the ``"words"`` to the output.
      """
      sentence = json_dict["sentence"]
      tokens = self._tokenizer.split_words(sentence)
      return self._dataset_reader.text_to_instance(tokens)
  
file_path: magnitude/pymagnitude/third_party/allennlp/predictors/sentence_tagger.py
imports: from __future__ import absolute_import
  from allennlp.common.util import JsonDict
  from allennlp.data import DatasetReader, Instance
  from allennlp.data.tokenizers.word_splitter import SpacyWordSplitter
  from allennlp.models import Model
  from allennlp.predictors.predictor import Predictor
label_desc: Use image node_id 3 for calling the SentenceTaggerPredictor obj's underlying member method code with example usage: obj._json_to_instance(json_dict) and returns: self